The graph represents a network of 5,003 Twitter users whose recent tweets contained "#notokay", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 11:39 UTC.
The tweets in the network were tweeted over the 3416-day, 10-hour, 31-minute period from Friday, 23 August 2013 at 13:24 UTC to Friday, 30 December 2022 at 23:55 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 5003
Unique Edges : 3466
Edges With Duplicates : 7759
Total Edges : 11225
Number of Edge Types : 9
Retweet : 2377
MentionsInRetweet : 3547
Tweet : 1734
Replies to : 884
Quote : 234
Mentions : 882
MentionsInReplyTo : 1448
MentionsInQuote : 102
MentionsInQuoteReply : 17
Self-Loops : 2189
Reciprocated Vertex Pair Ratio : 0.0390990225244369
Reciprocated Edge Ratio : 0.0752556237218814
Connected Components : 1708
Single-Vertex Connected Components : 978
Maximum Vertices in a Connected Component : 910
Maximum Edges in a Connected Component : 2888
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.067169
Graph Density : 0.000195404548554354
Modularity : 0.473545
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,003 Twitter users whose recent tweets contained "#notokay", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/30/2022 5:00:35 PM. The network was obtained from Twitter on Saturday, 31 December 2022 at 11:39 UTC.
The tweets in the network were tweeted over the 3416-day, 10-hour, 31-minute period from Friday, 23 August 2013 at 13:24 UTC to Friday, 30 December 2022 at 23:55 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : #notokay
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[296] dylan,o'brien [226] o'brien,try [226] save,fly [226] fly,fail [226] try,save [226] watch,dylan [226] fail,#notokay [225] ew,watch [131] #notokaymovie,#notokay [109] zoey,deutch Top Word Pairs in Tweet in G1:
[51] zoey,deutch [35] #notokay,#notokaymovie [31] watching,#notokay [28] #notokaymovie,#notokay [27] social,media [26] mia,isaac [19] dylan,o'brien [17] movie,#notokay [15] watched,#notokay [14] dylan,brien Top Word Pairs in Tweet in G2:
[256] dylan,o'brien [225] fail,#notokay [225] save,fly [225] fly,fail [225] try,save [225] o'brien,try [225] watch,dylan [224] ew,watch [65] letterboxd,#notokay [40] #notokay,dylanobrien Top Word Pairs in Tweet in G3:
[90] #notokay,#nokb [54] #nokb,#notokay [54] not_okaybears,#notokay [49] not_okaybears,0xhustler [39] #notokay,not_okaybears [39] okay,#notokay [37] okay,okay [31] not_okaybears,#nokb [29] 0xhustler,not_okaybears [28] not_okaybears,okay Top Word Pairs in Tweet in G4:
[70] redemption,arc [70] #notokay,movie [68] #notokaymovie,#notokay [66] gives,unlikable [66] black,trauma [66] movie,uniquely [66] protagonist,redemption [66] unlikable,white [66] portrays,black [66] trauma,gives Top Word Pairs in Tweet in G5:
[93] mean,covid [93] parent,sad [93] back,school [93] multiple,times [93] school,mean [93] reinfection,family [93] family,multiple [93] covid,reinfection [93] sad,back [92] times,scho Top Word Pairs in Tweet in G6:
[87] bdsm,bears [86] gross,trying [86] using,children [86] re,really [86] bears,gross [86] really,using [86] children,pose [86] #balenciaga,wth [86] wth,re [86] pose,bdsm Top Word Pairs in Tweet in G7:
[90] #sharpstick,#notokay [90] #bodiesbodiesbodies,#sharpstick [86] hollywood,courting [86] gen,movies [86] courting,gen [86] movies,#bodiesbodiesbodies [84] latimes,hollywood [76] #notokay,directors [76] directors,stars [75] stars,tal Top Word Pairs in Tweet in G8:
[17] bell,bellmediapr [13] #mentalhealth,#ptsd [9] 55th,birthday [9] long,term [8] terminated,due [8] term,employee [7] #ptsd,55th [7] #ceo,#mirkobibic [7] bellmediapr,bell_letstalk [6] terminated,#ptsd Top Word Pairs in Tweet in G9:
[53] worried,christmas [53] sflecce,told [53] osbcucscso,sflecce [53] save,money [53] christmas,ten [53] money,instead [53] being,worried [53] told,tonight [53] instead,being [53] tonight,save Top Word Pairs in Tweet in G10:
[28] lfg,jumped [28] chair,sight [28] designicalart,lfg [28] beauty,#notokay [28] sight,beauty [28] outta,chair [28] jumped,outta [28] infectedmob,designicalart [27] kingkeex,infectedmob [6] rasc_wtf,#notokay Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: